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[2022-12-06] 오늘의 자연어처리 Tackling Low-Resourced Sign Language Translation: UPC at WMT-SLT 22 This paper describes the system developed at the Universitat Politècnica de Catalunya for the Workshop on Machine Translation 2022 Sign Language Translation Task, in particular, for the sign-to-text direction. We use a Transformer model implemented with the Fairseq modeling toolkit. We have experimented with the vocabulary size,.. 2022. 12. 6.
[2022-12-05] 오늘의 자연어처리 Noisy Label Detection for Speaker Recognition The success of deep neural networks requires both high annotation quality and massive data. However, the size and the quality of a dataset are usually a trade-off in practice, as data collection and cleaning are expensive and time-consuming. Therefore, automatic noisy label detection (NLD) techniques are critical to real-world applications, especiall.. 2022. 12. 5.
[2022-12-04] 오늘의 자연어처리 Long-Document Cross-Lingual Summarization Cross-Lingual Summarization (CLS) aims at generating summaries in one language for the given documents in another language. CLS has attracted wide research attention due to its practical significance in the multi-lingual world. Though great contributions have been made, existing CLS works typically focus on short documents, such as news articles, short d.. 2022. 12. 4.
[2022-12-04] 오늘의 자연어처리 Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework In order to assist the drug discovery/development process, pharmaceutical companies often apply biomedical NER and linking techniques over internal and public corpora. Decades of study of the field of BioNLP has produced a plethora of algorithms, systems and datasets. However, our experience has been that no single o.. 2022. 12. 4.
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